GenAI Software Engineer, Technical Lead

Responsibilities

• Design and implement scalable Full Stack Gen AI Agents, Agentic Workflows, RAG pipelines and applications to address diverse and complex business use cases.
• Design and deploy Python-based microservices for robust orchestration and integration with Gen AI Large Language Models (LLMs).
• Collaborate with Gen AI scientists to integrate machine learning models such as LLMs, RAG, and multi-modal AI into the application architecture.
• Implement solutions leveraging modern design patterns and best practices for full stack development.
• Build and maintain RESTful APIs to enable seamless communication between different system components.
• Collaborate with cross-functional teams of full stack engineers, data engineers and Gen AI scientists to build full-stack Gen AI experiences.
• Integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.
• Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.
• Lead DevOps initiatives, including CI/CD pipelines, to ensure scalable and efficient deployment of Gen AI applications.
• Our Impact:

Requirements

• Bachelor's degree in computer science, Computer Engineering, IT or a related field. Advanced studies/degree preferred.
• 8-10 years overall software development experience
• 2+ years hands-on experience in GenAI solutions, including experience with LLMs (OpenAI, Anthropic, AWS Bedrock, etc.)
• 2+ year building RAG systems using vector DBs
• 1+ year with agentic frameworks (Lang Graph, Lang Chain, etc.)
• 5+ years in cloud development leveraging AWS, REST, microservices
• Strong Python, Typescript, and Java experience
• Background in ML Ops and CI/CD
• Experience building enterprise or customer-facing GenAI products
• Demonstrated ability to work in cross-functional agile teams.
• Experience with CI/CD practices and DevOps methodologies
• Keys to Success in this Role:
• Technical Proficiency: Demonstrate deep expertise in Python for creating microservices. Your ability to design and implement scalable solutions will be essential.
• Quality and Compliance: Establish and enforce validation frameworks and procedures to ensure production-ready deployment of Gen AI solutions.
• Collaboration: Work effectively with Gen AI scientists, UX designers, product managers, and data engineers to build comprehensive Gen AI experiences. Strong communication skills and a team-oriented mindset will be key.
• Innovation and Problem-Solving: Employ modern Gen AI based design patterns and best practices to solve complex business problems. Your innovative approach will help integrate Gen AI into application architectures successfully.
• Agility and Adaptability: Thrive i

Additional Information

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac Enterprise Risk organization is seeking a hands-on Software Engineer Tech Lead (Gen AI) to lead the design and development of cutting-edge Generative AI (Gen AI) Agents, Agentic Workflows, RAG pipelines, and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Python-based microservices for the orchestration layer deployed to AWS EKS (Kubernetes). You will serve as a tech lead and a hands-on engineer, working alongside Gen AI scientists, product managers, and data engineers to shape and implement enterprise-grade Gen AI solutions.

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